{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Humans of Martech","title":"221: You need Minimum Viable Readiness for AI because perfect data doesn't exist with Jason Dobbs","html":"","width":"100%","height":180,"duration":3396,"description":"What's up everyone, today we have the pleasure of sitting down with Jason Dobbs, Head of Marketing and GTM Engineering at Kumo AI.Summary: Jason Dobbs spent 7 years assembling intelligence briefings for the President, and he says most AI failures in martech are the same problem he was solving in 2003: teams acting on context they never actually agreed on. In this episode, he breaks down the 5 non-negotiables of minimum viable readiness before you deploy any AI agent, explains why the marketing ops function is becoming more critical as AI takes over execution, and argues that unbounded AI autonomy creates more risk than warehouse data ever will. He also defends GTM engineering as a real discipline rather than a rebrand, and closes with a Dune analogy that lands better than it has any right to. If you think AI readiness is primarily a data engineering problem, this episode will change how you think about your team's role in it.About Jason DobbsJason Dobbs is the Head of Marketing and GTM Engineering at Kumo AI, where he leads go-to-market for KumoRFM, the world's first relational foundation model, which generates accurate, explainable predictions directly from warehouse data. Before Kumo, he served as Global Head of Revenue Marketing at Logitech, where ABM and advanced segmentation drove 40% of B2B sales revenue and 79% YoY ARR growth. He also co-founded Trypp, an autonomous UX research agent for continuous post-ship product monitoring, and has held marketing and analytics leadership roles at Seagate, HTC Vive, Apple, and Google.Jason spent 7 years as a United States Air Force intelligence officer, including work on the President's Daily Intelligence Briefing, an experience that shapes how he thinks about assembling trustworthy context for high-stakes decisions under uncertainty.How Undefined Data Definitions Make AI Confidently WrongEvery marketing ops team has heard the warning: AI is only as good as the data you feed it. You've nodded along. You've probably said...","thumbnail_url":"https://img.transistorcdn.com/4eBcAi2MlxuVPdaWgcnwbeXVYH5naGhZe-qIuSYOdjU/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hZGE5/NTRiZjYwMDI0NWM5/MmE4MDQ1NWJlODA3/MjUxYy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}